AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Default_LightGBM LightGBM rmse 141.053 14.76 0.0146
2_Default_Xgboost Xgboost rmse 140.832 4.45 0.0187
3_Default_CatBoost CatBoost rmse 139.879 13.87 0.0095
4_Default_NeuralNetwork Neural Network rmse 151.076 7.55 0.0283
5_Default_RandomForest Random Forest rmse 166.996 91.01 0.0869
10_LightGBM LightGBM rmse 140.166 12.87 0.0146
6_Xgboost Xgboost rmse 142.295 4.55 0.017
14_CatBoost CatBoost rmse 139.952 845.68 0.0096
the best Ensemble Ensemble rmse 139.18 0.1 0.1128

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance (Original Scale)

features importance across models

Scaled Features Importance (MinMax per Model)

scaled features importance across models

Spearman Correlation of Models

models spearman correlation